Delegate a task to the DeepSeek model

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries the full burden and discloses key behavioral traits: has NO tools, cannot touch files, stateless, and returns the raw model answer. It doesn't mention error handling, rate limits, or the exact response structure, but the critical limitations are clearly stated for a simple delegation tool.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Four short, front-loaded sentences: purpose first, then limitations, then alternative tool, then stateless usage note. Every sentence earns its place with no filler or redundancy.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple stateless delegation tool with five straightforward parameters and a single sibling, the description covers purpose, when to use it, the alternative tool, capabilities/limitations, and context-passing guidance. The response format is only 'return its answer', but given the absence of an output schema and the simplicity of the expected output, this is sufficient.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, which sets a baseline of 3. The description adds value beyond the schema by instructing that the task should carry all context and that the optional system prompt can contain instructions, which directly supplements the task and system parameter descriptions. It doesn't add details for max_tokens or reasoning_effort, but the schema already covers them well.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description opens with a specific verb+resource: 'Send a task or question to the raw DeepSeek model' and states it returns the answer. It explicitly contrasts with the sibling run_agent_task by noting that shell/file/sub-agent work should use that alternative, which clearly differentiates this tool's purpose.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description gives explicit usage context ('Fast and cheap') and names the exact alternative for when not to use this tool: 'For work that needs a shell, file edits, or sub-agents, use run_agent_task instead.' It also provides practical guidance by explaining the tool is stateless, so all context must be placed in the task or system prompt.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.